Daniel Lepek

824 total citations · 1 hit paper
18 papers, 612 citations indexed

About

Daniel Lepek is a scholar working on Computational Mechanics, Media Technology and Education. According to data from OpenAlex, Daniel Lepek has authored 18 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Mechanics, 7 papers in Media Technology and 5 papers in Education. Recurrent topics in Daniel Lepek's work include Granular flow and fluidized beds (7 papers), Experimental Learning in Engineering (5 papers) and Engineering Education and Pedagogy (4 papers). Daniel Lepek is often cited by papers focused on Granular flow and fluidized beds (7 papers), Experimental Learning in Engineering (5 papers) and Engineering Education and Pedagogy (4 papers). Daniel Lepek collaborates with scholars based in United States, Spain and Austria. Daniel Lepek's co-authors include Christie J. Geankoplis, Rajesh N. Davé, José Manuel Valverde, Robert Pfeffer, M. A. S. Quintanilla, A. Castellanos, José Quevedo, James V. Scicolone, Johannes Khinast and Isabella Aigner and has published in prestigious journals such as Chemical Engineering Science, AIChE Journal and Journal of Nanoparticle Research.

In The Last Decade

Daniel Lepek

17 papers receiving 587 citations

Hit Papers

Transport Processes and Separation Process Principles 2003 2026 2010 2018 2003 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Transport Processes and Separation Process Principles
    2003 409 citations Christie J. Geankoplis, Daniel Lepek et al. CERN Document Server (European Organization for Nuclear Research) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Lepek United States 6 193 181 171 106 86 18 612
Cláudio P. Fonte United Kingdom 17 206 1.1× 465 2.6× 322 1.9× 110 1.0× 74 0.9× 55 902
Yogesh M. Harshe Switzerland 12 132 0.7× 338 1.9× 194 1.1× 86 0.8× 100 1.2× 26 721
Kannan Aravamudan India 16 132 0.7× 194 1.1× 163 1.0× 133 1.3× 43 0.5× 47 675
Rajeev K. Thakur France 10 153 0.8× 355 2.0× 217 1.3× 51 0.5× 48 0.6× 12 689
Asghar Alizadehdakhel Iran 15 502 2.6× 357 2.0× 242 1.4× 134 1.3× 68 0.8× 38 1.1k
P Vonk Netherlands 11 183 0.9× 128 0.7× 278 1.6× 76 0.7× 79 0.9× 15 632
Martine Poux France 18 319 1.7× 474 2.6× 300 1.8× 59 0.6× 65 0.8× 43 1.0k
Partha Kundu India 12 117 0.6× 113 0.6× 117 0.7× 109 1.0× 84 1.0× 25 714
Shiro Yoshikawa Japan 14 84 0.4× 207 1.1× 84 0.5× 144 1.4× 95 1.1× 49 485
Xiaoyang Wei China 18 127 0.7× 284 1.6× 115 0.7× 60 0.6× 124 1.4× 74 914

Countries citing papers authored by Daniel Lepek

Since Specialization
Citations

This map shows the geographic impact of Daniel Lepek's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Lepek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lepek more than expected).

Fields of papers citing papers by Daniel Lepek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Lepek. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Lepek. The network helps show where Daniel Lepek may publish in the future.

Co-authorship network of co-authors of Daniel Lepek

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Lepek. A scholar is included among the top collaborators of Daniel Lepek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Lepek. Daniel Lepek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Liberatore, Matthew W. & Daniel Lepek. (2024). Establishing Virtual Communities of Practice to Support Chemical Engineering Faculty Development During the COVID-19 Pandemic. 2021 ASEE Virtual Annual Conference Content Access Proceedings. 1 indexed citations
2.
Vigeant, Margot, Daniel Anastasio, Daniel Burkey, et al.. (2024). Preliminary Reflections and Assessment of the 2022 Chemical Engineering Summer School. Rose-Hulman Scholar (Rose–Hulman Institute of Technology).
3.
Lepek, Daniel. (2021). AIChE Virtual Communities of Practice _ Supporting Faculty during the COVID-19 Pandemic. Chemical Engineering Education. 56(1). 3 indexed citations
4.
Lepek, Daniel, et al.. (2020). Introducing K-12 Students to the Field of Pharmaceutical Engineering. Papers on Engineering Education Repository (American Society for Engineering Education). 23.819.1–23.819.9. 1 indexed citations
5.
Lepek, Daniel, et al.. (2020). Alternative Lab Reports, Engineering Effective Communication. 22.157.1–22.157.8. 1 indexed citations
6.
Aigner, Isabella, et al.. (2018). Continuous Drying of Pharmaceutical Powders Using a Twin-Screw Extruder. Organic Process Research & Development. 22(7). 813–823. 13 indexed citations
7.
Lepek, Daniel & Stefan Radl. (2018). Using Digital Tools for Enhanced Student Learning and Engagement in Particle Technology Courses at Graz University of Technology. Zenodo (CERN European Organization for Nuclear Research). 984–990. 1 indexed citations
8.
Lepek, Daniel & Marc‐Olivier Coppens. (2016). Nature-Inspired Chemical Engineering: Course Development in an Emerging Research Area. 4 indexed citations
9.
Martín, Lilian de, et al.. (2016). Pattern formation in fluidized and vibrated beds: experimental and computational insights. 1 indexed citations
10.
Farrell, Stephanie, Stephen Krause, Nancy Ruzycki, et al.. (2015). A Virtual Community of Practice to Introduce Evidence-based Pedagogy in Chemical, Materials, and Biological Engineering Courses. Rowan Digitals Works (Rowan University). 26.132.1–26.132.22. 2 indexed citations
11.
Lepek, Daniel, Margot Vigeant, David Silverstein, & Jason M. Keith. (2015). How We Teach: Transport Phenomena and Related Courses. 26.864.1–26.864.23. 5 indexed citations
12.
Scicolone, James V., et al.. (2013). Fluidization and mixing of nanoparticle agglomerates assisted via magnetic impaction. Journal of Nanoparticle Research. 15(2). 19 indexed citations
13.
Lepek, Daniel & Christopher Loo. (2013). Agitated Fluidization of Nanopowders Using Mechanical Stirring. 2 indexed citations
14.
Lepek, Daniel, José Manuel Valverde, Robert Pfeffer, & Rajesh N. Davé. (2009). Enhanced nanofluidization by alternating electric fields. AIChE Journal. 56(1). 54–65. 55 indexed citations
15.
Quintanilla, M. A. S., José Manuel Valverde, A. Castellanos, et al.. (2008). Nanofluidization as affected by vibration and electrostatic fields. Chemical Engineering Science. 63(22). 5559–5569. 36 indexed citations
16.
Valverde, José Manuel, M. A. S. Quintanilla, A. Castellanos, et al.. (2007). Fluidization of fine and ultrafine particles using nitrogen and neon as fluidizing gases. AIChE Journal. 54(1). 86–103. 57 indexed citations
17.
Valverde, José Manuel, A. Castellanos, Daniel Lepek, et al.. (2006). The effect of gas viscosity on the agglomerate particulate fluidization state of fine and ultrafine particles. 2 indexed citations
18.
Geankoplis, Christie J., et al.. (2003). Transport Processes and Separation Process Principles. CERN Document Server (European Organization for Nuclear Research). 409 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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